Plasterers and Stucco Masons

Right now, many plastering tasks still rely on people. Some routine chores see early automation. For example, major builders are testing robots (like Boston Dynamics’ Spot) to clean and organize worksites ^{[1] [1]}.

AI-software is also beginning to plan materials orders, using past project data to predict quantities ^{[2] [3]}. Even specialized machines exist: Hyundai has built an “AI plastering robot” that scans a concrete floor and automatically smooths rough spots ^[4]. Mixing machines (not yet AI) already help make mortar.

However, many core tasks remain manual. Covering windows or protecting glass, and creating decorative textures or precise finishes still demand human skill and judgment ^[5]. Researchers note that plasterers’ ability to “read a surface” and adjust on the fly is not easily replaced ^[5].

Some firms even use wearable robotics (exoskeleton suits) to ease heavy lifting and tools during plastering ^[6]. In short, robots and AI are beginning to aug­ment site work (cleaning or scanning), but core plastering work – applying coats by hand and crafting textures – largely remains a craft done by people ^{[4] [5]}.

Adopting robots or AI in plastering depends on costs, benefits, and industry attitudes. On one hand, the construction sector faces labor shortages and high productivity needs, which drive tech use. Industry analysts project construction robotics growing fast (projected $28.5 B market by 2030) because companies need to fill skill gaps and work faster ^[7].

In the UK, for example, 225,000 more tradespeople are needed by 2027, so contractors may look at robots to help with basic tasks ^{[5] [7]}. Many firms also calculate returns: even though an industrial robot can cost tens or hundreds of thousands of dollars, reports show they can pay back in 2–3 years through extra speed and lower labor costs ^{[7] [7]}.